• 한국막학회:학술대회논문집
• /
• 한국막학회 2003년도 춘계 총회 및 학술발표회
• /
• pp.129-132
• /
• 2003

• Bulletin of the Korean Chemical Society
• /
• 제6권1호
• /
• pp.51-52
• /
• 1985

• Bulletin of the Korean Chemical Society
• /
• 제20권10호
• /
• pp.1218-1220
• /
• 1999

• 한국방사성폐기물학회:학술대회논문집
• /
• 한국방사성폐기물학회 2019년도 춘계학술논문요약집
• /
• pp.128-129
• /
• 2019

• Bulletin of the Korean Chemical Society
• /
• 제11권3호
• /
• pp.184-186
• /
• 1990

• Bulletin of the Korean Chemical Society
• /
• 제15권4호
• /
• pp.323-324
• /
• 1994

• Journal of Preventive Medicine and Public Health
• /
• 제7권1호
• /
• pp.101-105
• /
• 1974

A study was carried out for the purpose of grasping the status of bacteriological contamination of the public wells in Iri city, during the period from 1 to 15 August, 1974. Coliform groups were detected by membrane filter method and physical conditions of the wells were checked. As results of this study, following conclusion were obtained. 1. The households which used the piped water occupied 70.8 per cent (11,907 households) out of total householdsir Iri city. 2. Temperature of the well water was 38 out of 50 samples (72.0%) with 12.1 to $16.0^{\circ}C$ and 9 wells with 10.1 to $12.0^{\circ}C$. 3. The pH values range of the well water was 6.0 to 7.9, 11 cases or 22,0 per cent less than 6.5 and 8 cases or 16.0 per cent more than 7.5. 4. The residual chlorine was found at 15 samples (30.0%) contained 0.1 to 0.5ppm, 9 samples (18.0%), 0.6 to 1.0 ppm after 24 houres of chlorination. 5. Coliform groups were found at 49 out of 50 samples (98.0%) before chlorination when 100ml well waters was tested by membrane filter technique and 15 wells(30.0%) were potable for drinking within 24 houres after chlorination. 6. Coliform groups positves were 23 out of 26 samples (88.5%) with no residual chlorine, 12 out of 16 samples (80.0%) with 0.1 to 0.5ppm and none out of 9 with 0.6 to 1.0ppm.

• 대한환경공학회지
• /
• 제39권10호
• /
• pp.556-560
• /
• 2017

Microcystis sp.로 수화된 원수에 대해 전염소 처리시 발생하는 문제점과 응집보조제로 polyamine을 투입하였을 때의 응집 및 여과공정에서의 효과를 수중의 입자상 물질의 분포로 평가하였다. Microcystis sp.로 수화된 원수를 전염소 처리하면 Microcystis sp. 군집이 각각의 세포들로 분산되어 응집에 불리한 것으로 나타났다. 응집보조제로 polyamine을 이용하면 응집제 단독으로 응집하는 경우에 비해 탁도와 입자성 물질 제거에 효과적이었으며, 특히 직경 $5{\mu}m$ 이하의 입자상 물질의 제거에 탁월하였다. Microcystis sp.로 수화된 상수원수를 이용하는 정수장에서는 전염소 처리를 배제하고 정수장을 운영하는 방법이 후단공정에서 입자상 물질의 제거 및 관리에 효율적이었다.

• 상하수도학회지
• /
• 제11권2호
• /
• pp.65-75
• /
• 1997

Removal characteristics of volatile organic carbons(VOCs) by ozone oxidation and other processes in the raw water of the 1st Nakdong water treatment plant were investigated. Dichrolomethane, toluene and other 7 compounds were detected in the raw water. With regard to detected 4 compounds in finally treated water, it was found that VOCs could not be removed effectively by traditional water treatment process. Benzene, 1,2-dichlorobenzne were not detected in the raw water but they were detected in the process of treatment. The compound of highest detection frequency was dichloromethane. When the raw water was controlled at pH 7, temperature $20^{\circ}C$, 5 minutes as contact time, 10 minutes as reaction time, the removal rate of THMFP, $KMnO_4$ demand, TOC, $UV_{254nm}$ and $NH_3-N$ were 46.4%, 22%, 19.6%, 31% and 8%, respectively. From estimating the finally treated water qualities in 7 kinds of treatment processes, P-6 process(raw water-chlorination-coagulation-ozonation) was most effective for organics removal and THMs control. Removal efficiencies for $KMnO_4$ demand and TOC by the process which combined preozonation with coagulation was twice better than only preozonation. $NH_3-N$ removal rate was shown as 10% by P-3 process(raw water-coagulation-ozonation), but 83% of $NH_3-N$ was removed by P-4 process(raw water-coagulation-chlorination). It was found that the chlorination is more effective than the ozonation for the NH3-N removal as commonly known.

• 상하수도학회지
• /
• 제21권5호
• /
• pp.601-607
• /
• 2007

In order to maintain constant residual chlorine in sedimentation basin, It is necessary to develop real time prediction model of residual chlorine considering water treatment plant data such as water qualities, weather, and plant operation conditions. Based on the operation data acquired from K water treatment plant, prediction models of residual chlorine in sediment basin were accomplished. The input parameters applied in the models were water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage. The multiple regression models were established with linear and non-linear model with 5,448 data set. The corelation coefficient (R) for the linear and non-linear model were 0.39 and 0.374, respectively. It shows low correlation coefficient, that is, these multiple regression models can not represent the residual chlorine with the input parameters which varies independently with time changes related to weather condition. Artificial neural network models are applied with three different conditions. Input parameters are consisted of water quality data observed in water treatment process based on the structure of auto-regressive model type, considering a time lag. The artificial neural network models have better ability to predict residual chlorine at sediment basin than conventional linear and nonlinear multi-regression models. The determination coefficients of each model in verification process were shown as 0.742, 0.754, and 0.869, respectively. Consequently, comparing the results of each model, neural network can simulate the residual chlorine in sedimentation basin better than mathematical regression models in terms of prediction performance. This results are expected to contribute into automation control of water treatment processes.